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Software Engineer(DevOps) - DataJoint
* CI/CD: Developed generic Github Actions reusable workflows used by 30+ repositories followed by Conventional Commits, Release Flow and GitOps best practices, to automate build, test, release, publish private or open-source Python packages[PyPI] or deploy Docker images[Dockerhub].
- * Kubernetes: Provisioned Kubernetes clusters for development, staging and production environments using k3d or kOps. Developed utility bash scripts with helm and kubectl to manage Kubernetes clusters more efficiently, including configuring Nginx ingress controller, cert manager with Let's encrypt issuer, Cillium Container Network Interface(CNI), IAM Roles for Service Account(IRSA), Cluster Autoscaler, AWS Elastic Load Balancer(ELB) or deploying applications like Percona XtraDB Clusters, Keycloak, JupyterHub, Flask and ReactJS based web application, etc.
+ * Kubernetes: Provisioned Kubernetes clusters hosted on EC2 instances for development, staging and production environments using k3d or kOps. Developed utility bash scripts with helm and kubectl to manage Kubernetes clusters more efficiently, including configuring Nginx ingress controller, cert manager with Let's encrypt issuer, Cillium Container Network Interface(CNI), IAM Roles for Service Account(IRSA), Cluster Autoscaler, AWS Elastic Load Balancer(ELB) or deploying applications like Percona XtraDB Clusters, Keycloak, JupyterHub, Flask and ReactJS based web application, etc.
* Ephemeral Worker Clusters: Designed and developed a worker lifecycle manager using Python within one month to fulfill an
urgent business requirement. This development
polls jobs from a MySQL database, then provisions and configures ephemeral EC2 instances by
Packer(pre-build AMI), Terraform and cloud-init to compute jobs
at scale; implemented AWS S3 mount to significantly reduce raw data downloading
overhead and added EFS as a file cache for intermediate steps to improve computation
failover; configured
NVIDIA CUDA toolkit and
NVIDIA container runtime for
GPU workers.
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Experience
* CI/CD: Developed generic
Github Actions reusable workflows used by
30+ repositories followed by
Conventional Commits,
Release Flow and
GitOps best practices, to automate build, test, release, publish private or open-source
Python packages[
PyPI] or deploy
Docker images[
Dockerhub].
- * Kubernetes: Provisioned Kubernetes clusters for development, staging and production environments using k3d or kOps. Developed utility bash scripts with helm and kubectl to manage Kubernetes clusters more efficiently, including configuring Nginx ingress controller, cert manager with Let's encrypt issuer, Cillium Container Network Interface(CNI), IAM Roles for Service Account(IRSA), Cluster Autoscaler, AWS Elastic Load Balancer(ELB) or deploying applications like Percona XtraDB Clusters, Keycloak, JupyterHub, Flask and ReactJS based web application, etc.
+ * Kubernetes: Provisioned Kubernetes clusters hosted on EC2 instances for development, staging and production environments using k3d or kOps. Developed utility bash scripts with helm and kubectl to manage Kubernetes clusters more efficiently, including configuring Nginx ingress controller, cert manager with Let's encrypt issuer, Cillium Container Network Interface(CNI), IAM Roles for Service Account(IRSA), Cluster Autoscaler, AWS Elastic Load Balancer(ELB) or deploying applications like Percona XtraDB Clusters, Keycloak, JupyterHub, Flask and ReactJS based web application, etc.
* Ephemeral Worker Clusters: Designed and developed a worker lifecycle manager using Python within one month to fulfill an urgent business requirement. This development polls jobs from a MySQL database, then provisions and configures ephemeral EC2 instances by Packer(pre-build AMI), Terraform and cloud-init to compute jobs at scale; implemented AWS S3 mount to significantly reduce raw data downloading overhead and added EFS as a file cache for intermediate steps to improve computation failover; configured NVIDIA CUDA toolkit and NVIDIA container runtime for GPU workers.
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